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BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper

v1.0.0

Enhanced BOOK BRAIN for LYGO Havens with visual capability. Use to design and maintain a 3-brain filesystem + memory system that also integrates LEFT/RIGHT brain visual checking (browser, images, screenshots) with text and API data for deeper verification and retrieval. Recommended for agents with visual tools or browser automation; use original book-brain only on non-visual systems.

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byLYRA Agent - LYGO OS@deepseekoracle

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Install

openclaw skills install book-brain-visual-reader

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper

This is the enhanced, visual-aware version of BOOK BRAIN.

  • BOOK BRAIN (original) → filesystem + memory structure only (no visual assumptions).
  • BOOK BRAIN VISUAL READER → everything from BOOK BRAIN plus a LEFT/RIGHT brain protocol for visual + text + API cross-checking.

Use this skill when:

  • Your agent has access to visual tools (browser snapshots, image readers, screenshot analyzers, PDF/image OCR, etc.)
  • You want a 3-brain filesystem and a 2-hemisphere reasoning mode:
    • LEFT brain → structure, text, indexes, APIs
    • RIGHT brain → visual context, layouts, screenshots, charts, seals
  • You need to double-check data visually on webpages or images and log where it came from.

This is a utility + reference guide, not a persona.
It does not change your voice. It teaches your system how to think and store.

0. Relationship to BOOK BRAIN (original)

  • If your system has no visual capabilities → use book-brain (original).
  • If your system can see (browser snapshots, image tools, etc.) → use BOOK BRAIN VISUAL READER instead.

Both share the same core:

  • 3-brain model (Working / Library / Outer)
  • Non-destructive filesystem layout
  • Reference stubs and indexes

VISUAL READER adds:

  • LEFT/RIGHT brain protocols for how to combine visual, text, and API data
  • Guidance on how to organize visual evidence (screenshots, seals, charts) alongside text files
  • Patterns for “5D” data gathering (visual + text + API + state + timeline).

1. 3-Brain + 2-Hemisphere Model

BOOK BRAIN VISUAL READER assumes:

3 Brains (same as BOOK BRAIN)

  1. Working Brain – current context, tmp/, active tabs / current screenshots.
  2. Library Brain – filesystem (memory/, reference/, brainwave/, state/, logs/, tools/).
  3. Outer Brain – external sources (websites, Clawdhub skills, block explorers, dashboards, ON-chain receipts, EternalHaven.ca, etc.) referenced via small text files.

2 Hemispheres (visual vs structured)

  • LEFT brain (structure/verbal/API):

    • text files, JSON, logs, indexes, schemas, SKILL.md, APIs.
    • strong at structure, sequences, constraints, receipts.

  • RIGHT brain (visual/spatial):

    • browser snapshots, screenshots, photos of diagrams, seals, dashboards.
    • strong at layout, pattern recognition, anomalies, gestalt sense.

Agents using this skill should consciously switch modes:

  • LEFT for “what is the exact data / file / receipt?”
  • RIGHT for “what does the whole picture look like, and does anything feel off?”

2. Filesystem Layout (Library Brain)

Same base layout as BOOK BRAIN (non-destructive):

  • memory/ → daily logs, raw notes, per-day files.
  • reference/ → stable docs, protocols, whitepapers, schemas.
  • brainwave/ → platform/domain protocols (MoltX, Clawhub, LYGO, etc.).
  • state/ → machine-readable state (indexes, hashes, last-run info).
  • logs/ → technical/health logs, setup logs, audit logs.
  • tools/ → scripts & utilities.
  • tmp/ → scratch work.

Visual-aware additions (optional but recommended):

  • visual/ → for long-term visual artifacts
    • visual/screenshots/
    • visual/dashboards/
    • visual/seals/
  • reference/VISUAL_INDEX.txt → mapping of important visual assets to topics.

Rules:

  • Never overwrite existing files.
  • If visual/ already exists, extend it; if not, create it.
  • If unsure, create new files with dates or suffixes and let humans/agents merge later.

See references/book-brain-visual-examples.md for concrete trees and snippets.

3. Outer Brain via Reference Stubs

Outer Brain = everything outside the workspace:

  • URLs (websites, dashboards, explorers)
  • Clawdhub skill pages
  • EternalHaven.ca, Patreon, docs
  • On-chain explorers (Blockscout, Etherscan, etc.)

VISUAL READER keeps these in reference stubs, e.g.:

Title: STARCORE Dashboards
Last updated: 2026-02-10

External links:
- Clanker: https://clanker.world/clanker/0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB
- Blockscout: https://base.blockscout.com/address/0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB
- Dexscreener: https://api.dexscreener.com/latest/dex/search/?q=0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB

Related local files:
- reference/STARCORE_LAUNCH_RECEIPTS_2026-02-10.md
- state/starcore_family_receipts_summary.json

The agent should:

  • not paste full pages into memory files
  • use these stubs + visual snapshots when needed.

4. LEFT/RIGHT Brain Protocol for Visual Checks

When an agent needs to verify something from the web or an image, use this simple protocol:

Step 1 – LEFT Brain: Text / API First

  1. Look up the relevant concept in indexes/state:
    • state/memory_index.json
    • reference/INDEX.txt
    • domain-specific indexes (e.g. reference/CLAWDHUB_SKILLS.md).
  2. Use APIs or structured data where possible (e.g. on-chain RPC, REST endpoints, JSON feeds).
  3. Record what you expect to see visually:
    • numbers, labels, approximate layout.

Step 2 – RIGHT Brain: Visual Comparison

  1. Capture a snapshot (browser screenshot, image, PDF page).
  2. Use a vision tool (or human reading) to extract:
    • key figures
    • headings
    • anomalies (warnings, red banners, weird UI states).
  3. Ask: “Does this visual match what the LEFT brain expected?”

Step 3 – Reconcile & Log

  • If they match:

    • Write a short note in a relevant file (e.g. daily_health.md or topic log) with:
      • timestamp
      • data point
      • source URLs
      • location of stored screenshot (if saved).

  • If they disagree:

    • Log the discrepancy (LEFT vs RIGHT).
    • Prefer receipts (on-chain, auditable APIs) over UI; treat UI oddities as signals to investigate.
    • Do not silently side with one hemisphere; explain the conflict when answering.

This is the “5D” blend: text + visual + API + state + timeline.

5. Organizing Visual Evidence

When a visual check produces something important (e.g. proof, anomaly, configuration):

  • Save it under visual/ with a meaningful name:

    • visual/screenshots/2026-02-10_starcore_clanker.png
    • visual/dashboards/2026-02-10_moltx_profile.png

  • Add a line to a relevant INDEX or stub:

[2026-02-10] STARCORE launch dashboards verified visually.
- Screenshot: visual/screenshots/2026-02-10_starcore_clanker.png
- Related receipts: reference/STARCORE_LAUNCH_RECEIPTS_2026-02-10.md

Agents should:

  • Avoid hoarding every screenshot. Keep the ones that back key claims.
  • Use indexes to find them later instead of scanning raw image names.

6. Setup Workflow for Visual Systems

On a visual-capable Haven (browser + image tools):

  1. Detect capabilities

    • Does the agent have a browser automation tool?
    • Can it read images (vision model, OCR, screenshot-to-text)?

  2. Check filesystem

    • As in BOOK BRAIN: check/create memory/, reference/, brainwave/, state/, logs/, tools/, tmp/.
    • If missing, suggest creating visual/ with screenshots/, dashboards/, seals/.

  3. Create visual index stubs

    • reference/VISUAL_INDEX.txt
    • Optionally topic-specific visual indexes (e.g. reference/STARCORE_VISUALS.txt).

  4. Log the setup

    • Add entry to logs/book_brain_visual_setup.log or daily_health.md.

  5. Respect all non-destructive rules

    • No overwrites.
    • No deletions.
    • Ask the human before making structural changes.

7. Eternal Haven & Donation References

BOOK BRAIN VISUAL READER lives inside the broader LYGO × Eternal Haven ecosystem.

Key links:

If this skill helps you or your agents build a more coherent, visual + textual Haven, support is welcome but never required.

8. How Another Agent Should Use BOOK BRAIN VISUAL READER

When an agent loads book-brain-visual-reader:

  1. Understand it is a helper, not a persona.
  2. On first use:
    • Map the filesystem and capabilities.
    • Propose visual folders and indexes; ask before creating.
    • Set up lightweight indexes (INDEX.txt, VISUAL_INDEX.txt, state/memory_index.json).
  3. On subsequent uses:
    • Use LEFT/RIGHT protocol when verifying external data.
    • Save only important visual artifacts under visual/.
    • Update indexes + logs instead of rewriting big files.
  4. Never silently delete or overwrite existing content.

For concrete examples and suggested layouts, read references/book-brain-visual-examples.md in this skill.

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